All,
I just got bit by this and was curious if this is just a limitation of
structured arrays.
import numpy as np
dt = [('var1', 'f'),('var2','f'),('var3','f')]
a = np.array([(1,3.5,0),(1,2.5,1),(3,4,1)], dtype=dt)
a[['var2','var3','var1']].view('f').reshape(3,3)
Out[100]:
array([[ 1. , 3.5, 0. ],
[ 1. , 2.5, 1. ],
[ 3. , 4. , 1. ]], dtype=float32)
I expected this to give me the fields in the order I asked for them,
but I got the fields in the order they occur. Based on recent
discussions I guess this makes sense, so this might just be something
to look out for?
Skipper